similar to: Slow computation in for loop

Hello everybody, I'm testing the randomForest package in order to do some simulations and I get some trouble with the prediction of new values. The random forest computation is fine but each time I try to predict values with the newly created object, I get an error message. I thought I was because NA values in the dataframe, but I cleaned them and still got the same error. What am I

Hi, I'm using R to plot some data and associated linear models, and I was wondering if there was a parameter to fix the line width in the graphs (for axis, lines, ...) because I explored the associated help pages and could not find it. Thx in advance, -- Ir. Yves Brostaux - Statistics and Computer Science Dpt. Gembloux Agricultural University 8, avenue de la Facult? B-5030 Gembloux

Dear members, I'm not very used with Unix systems, but I got an old Sun/UltraSparc workstation running Solaris 2.5.1 and I tried to install R on it to able able to do some batch R processing while working on my pc. I downloaded and installed following required and recommanded programs before installing R : perl 5.8.0, readline 4.3, gzip 1.3.5, zlib 1.1.4, make 3.80, jpeg 6b, libpng 1.2.4

Dear list, Here's a little problem I already solved with my own coding style, but I feel there is a more efficient and cleaner way to write it, but had no success finding the "clever" solution. I want to produce a factor from a subset of the combination of two vectors. I have the vectors a et b in a data-frame : > df <- expand.grid(a=c(0, 5, 10, 25, 50), b=c(0, 25, 50,

I am sure there is a simple solution to this... I have a column in a data frame specifying a grouping (1, -1) for my observations, and need to mutliply each observation in all the other columns of the data frame by the corresponding value in the given column. I played with apply, and saw some suggestions for sweep, but did not manage to get it working. My table contains NAs.... Example of

Hi again, When you have an ''obeserver'' setup as follows: $(''myForm'').observe(''submit'', validateForm); If a user submits the form the ''validateForm'' function is called and is automagically passed the ''event'' to work with. This is fantastic! But is there a way to pass another argument to the function?

Dear List, Do you know any way I can convert XML parameters into column headers. My data is in a csv file with each row containing a xml form of data , and multiple parameters ( <param1> data_val1 </param2> , <param2> data_val2 </param2> ) I want to convert it so each row caters to one record and each parameter becomes a different column. param1

hi all, how are other people passing and accessing ''get'' parameters from their apps? what is the best way to do it? ie: www.example.com/controller/action/id/extra/extra2/ ?? or www.example.com/controller/action/id/~extra/extra2/ or what ever.... are there built in methods for passing and accessing extra parameters? thanks for your suggestions -felix

Hi, I am trying to generate a link to external site with GET parameters ( in new window). I tried following code, but it does not produce any parameters. <%=link_to "Open New Page", "https://www.foo.com/page/", {:popup => true}, {:param1 => "value1", :param2 => "value2"}%> and <%=link_to "Open New Page",

# camping_plugin.rb # plug-in support for Camping Apps # require ''lib/camping_plugin'' # override R helper method to your liking :-) module Camping module PluginHelpers def R_with_module(c,*g) p,h=/\(.+?\)/,g.grep(Hash) g-=h raise "bad route" unless u = c.urls.find{|x| break x if x.scan(p).size == g.size &&

Hi I need some help! I have controller that I need to pass a full url (with its own parametrs) as a parameter, e.g. I want to call my controller with: /mycontroller/catchurl?url=http://somedomain.com/afile.jsp?param1=xx&param2=yy and in action "catchurl" in mycontroller.rb I would like to have params[:url] to be "http://somedomain.com/afile.jsp?param1=xx&param2=yy"

Hello I have a vector gd of 279 values of diameter of limpets. Using 'hist(gd, breaks=seq(10,60,5),plot=F)' I can obtain a vector of 10 centers of size-class ($mids). But I'd like to work on a vector of 279 values being the mids (centers of size-classes) corresponding to the respective 279 values in gd. I looked in the different manuals and in archives of list but didn't find

Greetings, all I am having difficulty getting the fitdistr() function to return without an error on my data. Specifically, what I'm trying to do is get a parameter estimation for fracture intensity data in a well / borehole. Lower bound is 0 (no fractures in the selected data interval), and upper bound is ~ 10 - 50, depending on what scale you are conducting the analysis on. I read in the

Hello, I have longitudinal data of the form below from N subjects; I am trying to create figure with N small subplots on a single page, in which each plot is from only one subject, and in each plot there is a separate curve for each value of param1. So in this case, there would be four plots on the page (one each for Bob, Steve, Kevin and Dave), and each plot would have two separate curves (one

Hello ! I'm struggling again against lattice graprhics. ;) I'm trying to produce a conditionnal xyplot with two conditionning factors (let's say A and B). I want the levels of those factors (A1, A2, etc) to show in the margins of the lattice plot, not in the strips between the panels. A1 A2 A3 plot11 plot12 plot13 B1 plot21 plot22 plot23 B2 I managed to remove the

Hello I want to compare the slope (let's say 'b') of a linear model obtained with lm() to a theoretical value (let's say 'th'). To do so, I think I should compute a 't value' using something like : (b - 'th')/standard.deviation(b) and then look at the p-value of this computed t. I don't understand how to do this in a simple way, just using lm()

Hello! I have a set of data of the form (x, y1, y2) where x is the independent variable and (y1, y2) is the response pair. The model is some messy non-linear function: (y1, y2) = f(x; param1, param2, ..., paramk) + (y1error, y2error) where the parameters param1, ..., paramk are to be estimated, and I'll assume the errors to be normal for sake of simplicity. If there were only one

Hello In is possible inherits from parametrized class?? For example i have base php52 class like this: class linux::php52($pools, $extensions='''') inherits linux { ...... } and whants to inherit it like this: class linux::php52::cluster inherits linux::php52 for cluster configuration (cluster stuff -f for example prevent php from automatic startup), and class

Hello, I have a quite simple question, I guess. I have a data frame and I would like to process the data in several ways. The processing is dependent on grouping (factors) and the parameter itself. Meaning for parameter1 in the df, I would like to calculate the mean and sd when grouping by factor1. But parameter2 might be different. I thought of a structure like this: group1 param1